We will extend the lecture slides with additional material on univariate and multivariate time series modeling in the future. Currently, we are heavily revising the Python interface of our MulTiPy meta package. The teaching material which features JMulTi/MulTi will be adjusted for the new methods and tools in order to provide a unique learning experience – for beginners and advanced Python enthusiasts.

Thank you to all our alpha and beta testers so far for their feedback of our teaching material, the JMulTi/MulTi project and interest in multiple time series methods. Your fruitful suggestions will be incorporated in the PyEcon and MulTiPy time series course.

Today we finished the first major release of exercises and quiz questions into the learning system of this project. We hope you enjoy this content and that it supports you in mastering Python.

Of course, we will continue to continuously improve the tasks and add new exercises.

Finally, we have launched the website today. On this page, we are posting updates, news and information related to working with Python in econometrics on an occasional basis.